Crowd-sourced driver grading

• US 10,891,808 B1
• Filed: 12/09/2019
• Issued: 01/12/2021
• Est. Priority Date: 04/15/2016
• Status: Active Grant

• Current Assignee: Allstate Insurance Company (Allstate Corporation)
• Original Assignee: Allstate Insurance Company (Allstate Corporation)
• Inventors: Ferguson, Dana
• Primary Examiner(s): Shafi, Muhammad
• Application Number:
  US16/707,828
• Time in Patent Office: 400 Days
• Field of Search: 701 323
• CPC Class Codes: B60R 2300/302 combining image information with GPS information or vehicle data, e.g. vehicle speed, gyro, steering angle data
• CPC Class Codes: B60R 2300/50 characterised by the display information being shared, e.g. external display, data transfer to other traffic participants or centralised traffic controller
• CPC Class Codes: B60R 2300/70 characterised by an event-triggered choice to display a specific image among a selection of captured images
• CPC Class Codes: G06Q 40/08 Insurance
• CPC Class Codes: G06Q 50/265 Personal security, identity or safety
• CPC Class Codes: G07C 5/008 communicating information to a remotely located station transmission systems for measured values G08C
• CPC Class Codes: G07C 5/0816 Indicating performance data, e.g. occurrence of a malfunction
• CPC Class Codes: G07C 5/0825 using optical means
• CPC Class Codes: G07C 5/0891 Video recorder in combination with video camera

Abstract

An video analysis computing system driving analysis may include a camera associated with a first vehicle and having a viewing angle capable of capturing a video of one or more other vehicles in proximity to the first vehicle, a first memory location communicatively coupled to the camera, wherein the first memory location stores video data captured by the camera, and an evaluation module including a processor executing instructions that cause the processor to: evaluate the captured video stored in the first memory location to determine whether a driving event performed by a second vehicle has occurred, assign, in response to an identified driving event performed by the second vehicle, a driving event rating to a video showing the identified driving event, wherein the driving event rating may be calculated, at least in part, using a crowd-sourced driving event rating obtained after posting the video to a social network.

Claims

1. A system comprising:

a video capture device associated with a first vehicle and capable of capturing a video of one or more other vehicles;

memory communicatively coupled to the video capture device, wherein the memory stores a video captured by the video capture device;

a processor executing instructions that cause the processor to;

process, using a video analysis algorithm, the captured video stored in the memory to determine a driving event performed by a second vehicle in the captured video;

determine, by an event analyzer, a first event rating indicating a level of danger of the driving event, wherein determining the first event rating includes;

receiving other event ratings of the same driving event from a plurality of sources; and

combining at least a portion of the received other ratings to determine the first event rating;

receive a second event rating of the driving event from a driver of the second vehicle;

determine an accuracy of the second event rating relative to the first event rating; and

determine an incentive to provide the driver of the second vehicle based on the determined accuracy of the second event rating.

2. The system of claim 1, wherein the instructions further cause the processor to:

analyze the driving event captured in the video to determine a first trajectory of the second vehicle during the driving event; and

generate a computer visualization of at least one second trajectory for the second vehicle.

3. The system of claim 2, wherein generating the computer visualization of the at least one second trajectory for the second vehicle includes digitally modelling one or more actions of a driver of the second vehicle, wherein the at least one second trajectory comprises a path for the second vehicle to travel to avoid causing the driving event.

4. The system of claim 3, wherein the instructions further cause the processor to:

generate an educational video, including visually overlaying the computer visualization of the at least one second trajectory to avoid performing the driving event on the captured video showing the second vehicle performing the driving event, by modifying underlying digital video data of the captured video.

5. The system of claim 1, wherein aggregating the other event ratings of the same driving event from the plurality of sources includes:

transmitting at least a portion of the captured video to a remote server; and

receiving the other event ratings from a plurality of users of a service operated at least in part by the remote server.

6. The system of claim 1, wherein determining the incentive is performed further based on a number of videos taken of the driver of the second vehicle within a specified time frame.

7. The system of claim 1, wherein the video capture device captures the video for a predetermined time period before a trigger, the trigger causing the captured video to be stored into storage.

8. A non-transitory computer readable medium storing computer-readable instructions that, when executed, cause an apparatus to:

process, using a video analysis algorithm, captured video stored in memory to determine an action of a first vehicle in the captured video, wherein determining the action includes determining a trajectory of the first vehicle;

determine, by an event analyzer, a first event rating indicating a level of danger of the action of the first vehicle, wherein determining the first event rating includes;

receiving other event ratings of the same action of the first vehicle from a plurality of sources; and

aggregating at least a portion of the received other ratings to determine the first event rating;

receive a second event rating of the action of the first vehicle from a driver of the first vehicle; and

determine an accuracy of the second event rating relative to the first event rating.

9. The non-transitory computer readable medium of claim 8, wherein the instructions, when executed, further cause the apparatus to:

generate a computer visualization of at least one other trajectory for the first vehicle, wherein the at least one other trajectory for the first vehicle comprises a path for the first vehicle to travel to avoid a driving event associated with the action of the first vehicle.

10. The non-transitory computer readable medium of claim 9, wherein the instructions, when executed, further cause the apparatus to:

generate an educational video, including visually overlaying the computer visualization of the at least one other trajectory for the first vehicle on the captured video, by modifying underlying digital video data of the captured video.

11. The non-transitory computer readable medium of claim 8, wherein the captured video is electronically received from a video capture device physically incorporated into a mobile device.

12. The non-transitory computer readable medium of claim 11, wherein the video capture device is configured to capture the video for a predetermined time period before a trigger, the trigger causing the captured video to be stored into storage.

13. The non-transitory computer readable medium of claim 8, wherein aggregating the other event ratings of the same driving event from the plurality of sources includes:

transmitting at least a portion of the captured video to an Internet service having a plurality of users; and

receiving the other event ratings from the plurality of users of the Internet service.

14. The non-transitory computer readable medium of claim 8, wherein the instructions, when executed, further cause the apparatus to determine an incentive to provide the driver of the first vehicle based on the determined accuracy of the second event rating.

15. A method comprising:

electronically receiving, by a computing device, video captured by a video capture device, the video including a driving event performed by a first vehicle;

determining, by an event analyzer, a first event rating indicating a level of danger of the driving event, wherein determining the first event rating includes;

receiving other event ratings of the same driving event from a plurality of sources; and

combining at least a portion of the received other ratings to determine the first event rating;

receiving, by the computing device, a second event rating of the driving event from a driver of the first vehicle;

determining, by the computing device, an accuracy of the second event rating relative to the first event rating; and

determining, by the computing device, an incentive to provide the driver of the first vehicle based on the determined accuracy of the second event rating.

16. The method of claim 15, further comprising:

evaluating the driving event captured in the video to determine a first trajectory of the first vehicle during the driving event;

generating, for display in a graphical user interface, a computer visualization of at least one second trajectory for the first vehicle, wherein the at least one second trajectory comprises a path for the first vehicle to travel to avoid causing the driving event; and

generating an educational video, including visually overlaying the computer visualization of the at least one second trajectory to avoid performing the driving event on the captured video showing the first vehicle performing the driving event, by modifying underlying digital video data of the captured video.

17. The method of claim 16, wherein the video capture device is physically attached to the first vehicle, and

wherein generating the educational video includes generating a computer rendering of a driving event corresponding to the video.

18. The method of claim 15, wherein the video capture device is physically incorporated into a mobile device.

19. The method of claim 15, wherein aggregating the other event ratings of the same driving event from the plurality of sources includes:

transmitting at least a portion of the captured video to a remote server providing an online service; and

receiving the other event ratings from a plurality of users of the online service.

20. The method of claim 15, wherein the video capture device captures the video for a predetermined time period before a trigger, the trigger causing the captured video to be stored into storage.